MGIP

MGIP performs MLST-based analysis of Neisseria meningitidis by generating allelic profiles from DNA sequence data to assign sequence types (STs) and clonal complexes (CCs) for molecular epidemiology, population biology, and outbreak investigation.

Key Features:

• Multilocus Sequence Typing (MLST): Performs multilocus sequence typing (MLST) specifically tailored to Neisseria meningitidis.
• Allelic Profile Generation: Generates allelic profiles that characterize strains and enable assignment to sequence types (STs) and clonal complexes (CCs).
• Locus-based Classification: Classifies strains based on DNA sequences at predefined MLST loci.
• Trace File Processing and Speed: Processes DNA sequence trace files and typically analyzes a set of 96 trace files in just over one minute.
• Expandability: Supports expansion beyond current MLST loci and adaptation to other bacterial species.

Scientific Applications:

• Molecular Epidemiology: Enables molecular epidemiology studies of Neisseria meningitidis by assigning allelic profiles and ST/CC designations.
• Outbreak Investigation: Facilitates outbreak analyses by rapidly typing isolates to identify related strains.
• Population Biology: Supports population biology investigations by providing ST and CC data for studies of genetic diversity and population structure.
• Genetic Diversity Characterization: Allows characterization of genetic diversity and investigation of outbreak dynamics using locus-specific sequence variation.

Methodology:

Processes DNA sequence trace files to obtain sequences at predefined MLST loci, generates allelic profiles from those loci, and assigns sequence types (STs) and clonal complexes (CCs) based on the allelic profiles.